Information retrieval systems rely on specialised data structures and algorithms to index, query and retrieve relevant information from large collections of text or other data types. Traditional ...

Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...

New York City runs on algorithms, at least 46 different algorithmic tools to be exact. Behind the rapid expansion of these tools is an example of how America’s biggest city is aiming to be transparent ...